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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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. Basic skills or strong interest in computational analysis (e.g., Python/R, image analysis, or metabolomics data processing) are a plus. Strong organizational skills, attention to detail, and the ability
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relaying instructions to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, reviewing images for accuracy, and ensuring image quality by performing
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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hours per week. Salary: Highly competitive, commensurate with experience and qualifications. Work in general science laboratories. Start date: as soon as possible after the selection process is completed
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You are a creative and enthusiastic researcher with an MSc degree in physics, mathematics, computer science, engineering, medical physics, technical medicine or similar. You are a team player with
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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support experience (Will consider five years related post high school education/experience) Required License No If yes, what is the required licensure/certification? Required Computer Applications